enh: add another (VOX2VOX) example from bbregister

Author: oesteban

nitransforms/tests/data/regressions/bbregister.fsl

@@ -0,0 +1,4 @@
+   0.99970585   -0.00953967   -0.02228683  -15.19269657 
+  -0.00599674    0.79344094   -0.60861677   70.83446503 
+   0.02348929    0.60857153    0.79315072   15.39251423 
+   0.00000000    0.00000000    0.00000000    1.00000000 

nitransforms/tests/data/regressions/bbregister.lta

@@ -0,0 +1,29 @@
+type      = 0 # LINEAR_VOX_TO_VOX
+nxforms   = 1
+mean      = 0.0000 0.0000 0.0000
+sigma     = 1.0000
+1 4 4
+-3.124080896377563e+00 2.981145866215229e-02 8.914728462696075e-02 1.741926879882812e+02 
+-1.405486371368170e-02 1.859627604484558e+00 -1.825850725173950e+00 5.312585067749023e+01 
+5.505303665995598e-02 1.426339745521545e+00 2.379452466964722e+00 1.154438781738281e+01 
+0.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00 9.999998807907104e-01 
+src volume info
+valid = 1  # volume info valid
+filename = /home/oesteban/tmp/fmriprep-ds005/fprep-work/fmriprep_wf/single_subject_01_wf/func_preproc_task_mixedgamblestask_run_01_wf/bold_reg_wf/bbreg_wf/bbregister/uni_xform_masked.nii.gz
+volume = 64 64 34
+voxelsize = 3.125000000000000e+00 3.125000000000000e+00 4.000000000000000e+00
+xras   = -1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00
+yras   = 0.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
+zras   = 0.000000000000000e+00 0.000000000000000e+00 1.000000000000000e+00
+cras   = 1.000000000000000e+00 2.800000000000000e+01 -3.100000000000000e+01
+dst volume info
+valid = 1  # volume info valid
+filename = /oak/stanford/groups/russpold/data/openfmri/ds000005/sub-01/anat/sub-01_T1w.nii.gz
+volume = 160 192 192
+voxelsize = 1.000000000000000e+00 1.333333015441895e+00 1.333333015441895e+00
+xras   = 1.000000000000000e+00 0.000000000000000e+00 0.000000000000000e+00
+yras   = 0.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
+zras   = 0.000000000000000e+00 0.000000000000000e+00 1.000000000000000e+00
+cras   = -1.000000000000000e+00 -5.000030517578125e+00 -1.000030517578125e+00
+subject sub-01
+fscale 0.100000

nitransforms/tests/data/regressions/bbregister.tfm

@@ -0,0 +1,5 @@
+#Insight Transform File V1.0
+#Transform 0
+Transform: MatrixOffsetTransformBase_double_3_3
+Parameters: 0.999706355364118 0.0059967416827344956 0.023489316177446647 0.009539669218827523 0.7934419194347854 -0.6085721629337524 -0.02228683774477952 0.6086173680484374 0.7931513449655613 -5.5388974668589555 -45.57406723091313 -48.80406464758718
+FixedParameters: 0 0 0

nitransforms/tests/test_conversions.py

@@ -5,9 +5,17 @@
 from .. import linear as _l
 
 
-def test_conversions(data_path):
+def test_conversions0(data_path):
     """Check conversions between formats."""
     lta = _l.load(data_path / "regressions" / "robust_register.lta", fmt="lta")
     itk = _l.load(data_path / "regressions" / "robust_register.tfm", fmt="itk")
 
     assert np.allclose(lta.matrix, itk.matrix)
+
+
+def test_conversions1(data_path):
+    """Check conversions between formats."""
+    lta = _l.load(data_path / "regressions" / "bbregister.lta", fmt="lta")
+    itk = _l.load(data_path / "regressions" / "bbregister.tfm", fmt="itk")
+
+    assert np.allclose(lta.matrix, itk.matrix)